An application of fluid mobility attribute for permeability prognosis in the crosswell space with compensation of the reservoir thickness variations

2016 ◽  
Vol 4 (2) ◽  
pp. T157-T165
Author(s):  
Pavel Rusakov ◽  
Gennady Goloshubin ◽  
Yury Tcimbaluk ◽  
Irina Privalova
Keyword(s):  
Seismic Data ◽  
Western Siberia ◽  
Log Analysis ◽  
Well Log ◽  
3D Seismic ◽  
Seismic Attribute ◽  
Thickness Variations ◽  
Well Log Analysis ◽  
Text Formation ◽  
3D Seismic Data

We have considered a permeability prognosis in the crosswell space within the Middle Jurassic [Formula: see text] Formation in the southern part of Western Siberia. The prognosis was based on core measurements, well log analysis, and seismic attribute calculations. We have estimated the formation permeability in the wells, calculated seismic attribute proportional to fluid mobility from the 3D seismic data, and eliminated the influence of the reservoir thickness variations. The correlation between appropriate seismic attribute values and [Formula: see text] formation permeability was used for the prognosis and mapping the permeability in the crosswell space.

Application of 3D seismic attributes to optimize the placement of horizontal wells within a tight gas sand reservoir, Ordos Basin, China

Geophysics ◽  
2016 ◽  
Vol 81 (3) ◽  
pp. B77-B86 ◽  
Author(s):  
Zhiguo Wang ◽  
Jinghuai Gao ◽  
Xiaolan Lei ◽  
Xiaojie Cui ◽  
Daxing Wang
Keyword(s):  
Seismic Data ◽  
Ordos Basin ◽  
Horizontal Wells ◽  
Tight Gas ◽  
3D Seismic ◽  
Seismic Attribute ◽  
Horizontal Drilling ◽  
The Ordos Basin ◽  
Gas Bearing ◽  
3D Seismic Data

The Lower Permian Xiashihezi Formation in the Ordos Basin, China, is a quartz-sandstone reservoir with low porosity and low permeability. We have acquired 3D seismic data and well data from 18 vertical and four horizontal wells to indicate the potential of seismic attribute analyses in locating seismic sweet spots for lateral placement of horizontal wells. Using the analytic wavelet transform with a Morse wavelet, the integration of high tuning spectral components, high sweetness and high spectral attenuation helped us to estimate the distribution of gas-bearing tight sands in the Xiashihezi Formation. Our results revealed that the principal target of horizontal drilling and production was gas-bearing massive point bars in the braided river delta setting of the Ordos Basin. The integrated workflow of the seismic attribute analysis contributes to the optimal horizontal well planning by mining and exposing critical geological information of a tight gas sand reservoir from within 3D seismic data.

scholarly journals Estimation of net-to-gross of among hydrocarbon field using well log and 3D seismic data

2014 ◽  
Vol 2 (2) ◽  
pp. 18-26
Author(s):  
Sonny Inichinbia ◽  
◽  
Peter O. Sule ◽  
Halidu Hamza ◽  
Aminu L. Ahmed
Keyword(s):  
Seismic Data ◽  
Well Log ◽  
3D Seismic ◽  
Net To Gross ◽  
3D Seismic Data ◽  
Hydrocarbon Field

Indirect Confirmation of Various Hypotheses About the Formation of Oil and Gas According to 3D Seismic Data in Western Siberia

2019 ◽  
Author(s):  
V.N. Borodkin ◽  
A.R. Kurchikov ◽  
V.I. Samitova ◽  
A.V. Lukashov ◽  
A.S. Nedosekin ◽  
...  
Keyword(s):  
Seismic Data ◽  
Western Siberia ◽  
Oil And Gas ◽  
3D Seismic ◽  
3D Seismic Data ◽  
Indirect Confirmation

Identification of polygonal faulting from legacy 3D seismic data in vintage Gulf of Mexico data using seismic attributes

2021 ◽  
pp. 1-17
Author(s):  
Karen M. Leopoldino Oliveira ◽  
Heather Bedle ◽  
Karelia La Marca Molina
Keyword(s):  
Seismic Data ◽  
Seismic Attributes ◽  
Fault System ◽  
3D Seismic ◽  
Seismic Attribute ◽  
Variable Amplitude ◽  
Attribute Analysis ◽  
Amplitude Data ◽  
3D Seismic Data ◽  
Polygonal Fault

We analyzed a 1991 3D seismic data located offshore Florida and applied seismic attribute analysis to identify geological structures. Initially, the seismic data appears to have a high signal-to-noise-ratio, being of an older vintage of quality, and appears to reveal variable amplitude subparallel horizons. Additional geophysical analysis, including seismic attribute analysis, reveals that the data has excessive denoising, and that the continuous features are actually a network of polygonal faults. The polygonal faults were identified in two tiers using variance, curvature, dip magnitude, and dip azimuth seismic attributes. Inline and crossline sections show continuous reflectors with a noisy appearance, where the polygonal faults are suppressed. In the variance time slices, the polygonal fault system forms a complex network that is not clearly imaged in the seismic amplitude data. The patterns of polygonal fault systems in this legacy dataset are compared to more recently acquired 3D seismic data from Australia and New Zealand. It is relevant to emphasize the importance of seismic attribute analysis to improve accuracy of interpretations, and also to not dismiss older seismic data that has low accurate imaging, as the variable amplitude subparallel horizons might have a geologic origin.

scholarly journals Geometrical Seismic Attribute for Fault Identifiction on Canada Exploration Field

2017 ◽  
Vol 17 (2) ◽  
pp. 91
Author(s):  
Reni Agustiani ◽  
Puguh Hiskiawan ◽  
Rano Rano
Keyword(s):  
Seismic Data ◽  
Data Interpretation ◽  
East Sea ◽  
3D Seismic ◽  
Seismic Attribute ◽  
Data Volume ◽  
Major Fault ◽  
Western Side ◽  
Sonic Logs ◽  
3D Seismic Data

It has been performed data interpretation of 3D seismic data and drilling field exploration wellsBasin Nova ScotiaKanada to know structure fault on the field Missisauga Formation. Seismic dataused is 601 inline, crossline 482, and the data used drilling wells are two wells which there is a loggamma ray, sonic logs and log RHOB. Interpretation is done the analysis of the map in thestructure of time and analysis of seismic attribute maps based on the geometrical attribute serves todetermine their structure or structural faults of the data volume 3D. Based on the time structuremap well known that first well is in the region heights and second wells is in low region. Based oninterpretation of the map attributes known three faults are two major fault and one minor fault.Two faults are in the East Sea drilling wells and a small fracture that was on its western side. Thethree fults are directed from Northwest to the Southeast. Fault is expected to serve as ahydrocarbon trap in the area that will be accumulated in drilling wells.Keywords: geometrical attribute, Seismic data, drilling wells, time structure map.

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